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Hadzi, S.

Publications and source records attributed to Hadzi, S..

5 recordsLinked to original sources

Ionic strength modulates structural disorder and protein oligomerization in the marginally disordered Phd transcription factor

Some proteins combine sequence features that are typical both for folded proteins and intrinsically disordered proteins (IDPs). The borderline properties of these so-called "marginal" IDPs render their conformational ensembles highly sensitive to the environmental changes, which may be important for their function. Here, we investigate the prokaryotic transcription factor Phd, which regulates the phd-doc toxin-antitoxin module through an allosteric mechanism involving disorder-order transition. Using an ensemble of biophysical techniques, we show that the protein is completely disordered at low ionic strength, whereas increasing salt concentration promotes its collapse into a partially ordered monomeric state, followed by the formation of a structured dimer. Using a thermodynamic model, we decipher the linkage between ionic strength, protein stability, oligomer state and degree of disorder. Via small-angle X-ray scattering we derive the structural ensemble of dimeric Phd, revealing a gradation of disorder as a function of salt. The sequence and biophysical properties of Phd position it at the boundary between macroscopically distinct conformational ensembles, representing a large pool of states capable of engaging in functional disorder-to-order interactions, enabling Phd to act as conformational rheostat. Together with previous crystallographic data, this charts the full spectrum of disorder-to-order states in the bacterial transcription factor and underscores the structural plasticity of IDPs with the marginal sequence properties. SIGNIFICANCEWhile globular proteins adopt stable three-dimensional structures, intrinsically disordered proteins (IDPs) remain flexible and dynamically sample partially ordered states. This behavior is largely determined by amino acid composition; however, some proteins lie at the borderline between order and disorder. Here, we focus on such a protein, the Phd transcription, and show how its conformation changes from completely disordered to fully ordered. These transitions are modulated by ionic strength and binding to macromolecules, including homodimerization. Using a thermodynamic model, we map the Phd conformational space, revealing a broad ensemble of states with varying degrees of disorder. The borderline amino acids properties enable Phd to function as a conformational rheostat, coupling functional interactions to the series of graded order-disorder transitions.

biophysics↗

ChiraKit, an online tool for the analysis of circular dichroism spectroscopy data

Circular dichroism (CD) spectroscopy is an established biophysical technique to study chiral molecules. CD allows investigating conformational changes under varying experimental conditions and has been used to understand secondary structure, folding and binding of proteins and nucleic acids. Here, we present ChiraKit, a user-friendly, online, open-source tool to process raw CD data and perform advanced analysis. ChiraKit features include the calculation of protein secondary structure with the SELCON3 and SESCA algorithms, estimation of peptide helicity using the helix-ensemble model, the fitting of thermal/chemical unfolding or user-defined models, and the decomposition of spectra through singular value decomposition (SVD) or principal component analysis (PCA). ChiraKit can be accessed at https://spc.embl-hamburg.de/.

biophysics↗

Analysis of the peptide helicity using ensemble spectroscopic model with re-calibrated parameters

The -helix is the fundamental building block of protein structure. Understanding the physical principles that determine how a specific amino acid sequence defines helicity is a key step towards elucidating the sequence-structure relationship. An established method for quantitation of helix content using circular dichroism (CD) relies on the linear spectroscopic model. In this model, the helix length-correction is not applied to each ensemble conformer individually, rather an average value is assumed for all conformers. Here we assess the validity of this approximation and introduce a more physically realistic ensemble-based analysis of the CD signal. We find that the linear model tends to underestimate peptide helicity, with the difference depending on the ensemble composition. Using a CD dataset covering a broad range of helicities, we re-calibrate spectroscopic parameters (helix and coil baselines) and determine helix-coil parameters for a set of alanine-rich peptides. Our results show that the ensemble model can leverage the small spectroscopic differences between peptide conformers, enabling it to extract more information from the experimental data. We show that some previously poorly-defined quantities, such as helix nucleation constant and heat capacity change associated with helix folding, can be reliably determined using ensemble model. Overall, the presented ensemble-based treatment of the CD signal, together with the re-calibrated values of the spectroscopic baseline parameters, provides a coherent framework for the analysis of the peptide helix content. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=50 SRC="FIGDIR/small/563921v1_ufig1.gif" ALT="Figure 1"> View larger version (7K): org.highwire.dtl.DTLVardef@e10dc8org.highwire.dtl.DTLVardef@14fe8ccorg.highwire.dtl.DTLVardef@13cb2fborg.highwire.dtl.DTLVardef@aafa3_HPS_FORMAT_FIGEXP M_FIG C_FIG

biophysics↗

What stabilizes pre-folded structures in the intrinsically disordered α-helical binding motifs?

Many examples are known of regions of intrinsically disordered proteins (IDPs) that fold into -helices upon binding their globular protein targets. In their unbound state these regions possess a small amount of residual helicity, referred to as pre-folded structure, which has been studied on case by case basis. In order to investigate what determines these pre-folded structures we compiled a database of peptides that fold-upon-binding, and experimentally characterized their helicity in the unbound and target-bound state. These regions are more hydrophobic and lack proline residues compared to IDPs in general. On average they possess about 17% helicity in the pre-folded state and gain 40% of helicity upon target binding. We observe that the locations of pre-folded helical regions strongly overlap with those in the targetbound IDPs. To understand this correlation, we analyzed per-residue energetic contributions stabilizing helical structure and found that target-interacting IDP have higher helix propensity. Notably, leucine is the most common residue involved in IDP-target interactions and, due to its high helix propensity, it strongly stabilizes pre-folded helical structures. For many IDP binding motifs, particularly those enriched in leucine, we observe that they not only mediate target-interactions but also confer stability to the pre-folded structure. Collectively, this shows that the formation of pre-folded helical elements is coupled to the IDP-target interactions, explaining why such elements are a common feature of -helical binding motifs. Moreover, it probably explains the preference for leucine among IDP-target hotspots, even though this residue is underrepresented among hotspots in the interfaces between globular proteins.

bioinformatics↗

MLKL D144K mutation activates the necroptotic activity of the N-terminal MLKL domain

Mixed-lineage kinase domain-like protein (MLKL) is an essential effector protein of necroptotic cell death. The four-helix bundle domain (4HB) presented by the first 125 amino acids of the N-terminal domain is sufficient for its necroptotic activity. However, it has been proposed that the subsequent helix H6 of the brace region has a regulatory effect on its necroptotic activity. How the brace region restrains the necroptotic activity of the N-terminal domain of MLKL is currently unknown. Here, we demonstrate the importance of helix H6 to constrain the necroptotic activity. A single amino acid mutation D144K was able to activate the necroptotic activity of the N-terminal domain of MLKL by removing helix H6 away from 4HB domain. This enabled proteins oligomerization and membrane translocation. Moreover, a biophysical comparison revealed that helix H6 becomes partially unstructured due to D144K mutation, leading to a lower overall thermodynamic stability of the mutant protein compared to the wild type.

biochemistry↗